Tesla has filed a new patent for “Parallel Processing System Runtime State Reload,” comprising of a system of three or more processors working in conjunction to effectively eliminate the possibility of hardware failure during the use of Autopilot or Full Self-Driving. The patent outlines a robust system of parallel processors that can operate in the event that one of them fails or experiences a runtime state error. “Should one of the parallel processors fail, at least one other processor would be available to continue performing autonomous driving functions,” the patent shows.
The patent was filed and published on August 26th and comes just a week after the company’s Artificial Intelligence Day event that was held last Thursday. Outlining a system of at least three processors operating in parallel, it is monitored by circuitry and can locate and identify if one of the three parallel-operating processors is having a runtime state error. The circuitry will then identify a second processor to switch to in the event of a runtime error, access the runtime state of the second processor, and load the runtime state of the second, operational processor into the first processor, which is experiencing a runtime error.
(Credit: Tesla)
Tesla describes the patent in detail:
“A system on a Chip (SoC) includes a plurality of processing systems arranged on a single integrated circuit. Each of these separate processing systems typically performs a corresponding set of processing functions. The separate processing systems typically interconnect via one or more communication bus structures that include an N-bit wide data bus (N, an integer greater than one). Some SoCs are deployed within systems that require high availability, e.g., financial processing systems, autonomous driving systems, medical processing systems, and air traffic control systems, among others. These parallel processing systems typically operate upon the same input data and include substantially identical processing components, e.g., pipeline structure, so that each of the parallel processing systems, when correctly operating, produces substantially the same output. Thus, should one of the parallel processors fail, at least one other processor would be available to continue performing autonomous driving functions.”
Technically speaking, the autonomous vehicle needs only one processor to function as described in an accurate fashion. However, these processors can be overloaded with data when loading into the Neural Network and could experience short-term and non-permanent operational errors. When this occurs, the system would then switch to one of the other processors for normal operation, with at least two backup processors in this patent, as it repeatedly mentions a series of three.
Tesla details its self-driving Supercomputer that will bring in the Dojo era
The second processor would then activate and load the runtime state into the first processor to make the primary processor chip operational once again:
“Thus, in order to overcome the above-described shortcomings, among other shortcomings, a parallel processing system of an embodiment of the present disclosure includes at least three processors operating in parallel, state monitoring circuitry, and state reload circuitry. The state monitoring circuitry couples to the at least three parallel processors and is configured to monitor runtime states of the at least three parallel processors and identify a first processor of the at least three parallel processors having at least one runtime state error. The state reload circuitry couples to the at least three parallel processors and is configured to select a second processor of the at least three parallel processors for state reload, access a runtime state of the second processor, and load the runtime state of the second processor into the first processor.”
The purpose of this patent is to continue system availability, even when the primary processor is experiencing functionality issues due to overuse. The two additional processors essentially act as “backup” and can determine whether autonomous driving systems are meant to be enabled if the first processor experiences an error. “With one particular example of this aspect, the parallel processing system supports autonomous driving and the respective sub-systems of the at least three parallel processors are safety sub-systems that determine whether autonomous driving is to be enabled.”
FIG. 13 is a timing diagram illustrating clocks of the circuits of FIGS. 8 and 10 according to one or more other described embodiments. As shown, the runtime state (data1) of first processor/first sub-system is determined to have at least one error. In response to this determination by the state monitoring/state reload circuitry, the signal st_reload1 is asserted to initiate the loading of runtime state (data2) from second processor/second sub-system into the first processor/first sub-system. With the embodiment of FIG. 13, a first clock (clk1) is used for the first processor/first sub-system and a second clock (clk1) is used for the second processor/second sub-system. There exists a positive skew between the first clock (clk1) and the second clock (clk2), resulting in a late cycle of the loading of the runtime state (data2) of the second processor/second sub-system into the first processor/sub-system, potentially resulting in errors in the runtime state reload process. (Credit: U.S. Patent Office)
It also appears that this patent aligns with Tesla CEO Elon Musk’s previous description of the Dojo self-driving Supercomputer, which was detailed at AI Day. To increase the accuracy and encourage the parallel operation of the processors, the system will utilize a clock input to calibrate the two processors, increasing the accuracy of the system.
Tesla has focused on accurate FSD operation and has revised its strategy on several occasions. After moving to a camera-only approach earlier this year for the Model 3 and Model Y, the company is experiencing more accurate FSD operation through the harmonized processing of its eight exterior cameras. The operation of internal processors, which are responsible for compiling, compressing, and sending data to the Neural Network, can fail temporarily, so the presence of backup processors to continue comprehending self-driving data is a positive idea.
The full patent is available below:
Tesla Patent Parallel Processing System Runtime State Reload by Joey Klender on Scribd
News
Armored Tesla Cybertruck “War Machine” debuts at Defense Expo 2025
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet ut et voluptates repudiandae sint et molestiae non recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat.
Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
“Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat”
Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit aut fugit, sed quia consequuntur magni dolores eos qui ratione voluptatem sequi nesciunt.
Et harum quidem rerum facilis est et expedita distinctio. Nam libero tempore, cum soluta nobis est eligendi optio cumque nihil impedit quo minus id quod maxime placeat facere possimus, omnis voluptas assumenda est, omnis dolor repellendus.
Nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo.
Neque porro quisquam est, qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit, sed quia non numquam eius modi tempora incidunt ut labore et dolore magnam aliquam quaerat voluptatem. Ut enim ad minima veniam, quis nostrum exercitationem ullam corporis suscipit laboriosam, nisi ut aliquid ex ea commodi consequatur.
At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum et dolorum fuga.
Quis autem vel eum iure reprehenderit qui in ea voluptate velit esse quam nihil molestiae consequatur, vel illum qui dolorem eum fugiat quo voluptas nulla pariatur.
News
Tesla Megapacks chosen for 548 MWh energy storage project in Japan
Tesla plans to supply over 100 Megapack units to support a large stationary storage project in Japan, making it one of the country’s largest energy storage facilities.
Tesla’s Megapack grid-scale batteries have been selected to back an energy storage project in Japan, coming as the latest of the company’s continued deployment of the hardware.
As detailed in a report from Nikkei this week, Tesla plans to supply 142 Megapack units to support a 548 MWh storage project in Japan, set to become one of the country’s largest energy storage facilities. The project is being overseen by financial firm Orix, and it will be located at a facility Maibara in central Japan’s Shiga prefecture, and it aims to come online in early 2027.
The deal is just the latest of several Megapack deployments over the past few years, as the company continues to ramp production of the units. Tesla currently produces the Megapack at a facility in Lathrop, California, though the company also recently completed construction on its second so-called “Megafactory” in Shanghai China and is expected to begin production in the coming weeks.
READ MORE ON TESLA MEGAPACKS: Tesla Megapacks help power battery supplier Panasonic’s Kyoto test site
Tesla’s production of the Megapack has been ramping up at the Lathrop facility since initially opening in 2022, and both this site and the Shanghai Megafactory are aiming to eventually reach a volume production of 10,000 Megapack units per year. The company surpassed its 10,000th Megapack unit produced at Lathrop in November.
During Tesla’s Q4 earnings call last week, CEO Elon Musk also said that the company is looking to construct a third Megafactory, though he did not disclose where.
Last year, Tesla Energy also had record deployments of its Megapack and Powerwall home batteries with a total of 31.4 GWh of energy products deployed for a 114-percent increase from 2023.
Other recently deployed or announced Megapack projects include a massive 600 MW/1,600 MWh facility in Melbourne, a 75 MW/300 MWh energy storage site in Belgium, and a 228 MW/912 MWh storage project in Chile, along with many others still.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
Tesla highlights the Megapack site replacing Hawaii’s last coal plant
Need accessories for your Tesla? Check out the Teslarati Marketplace:
News
Elon Musk responds to Ontario canceling $100M Starlink deal amid tariff drama
Ontario Premier Doug Ford said, opens new tab on February 3 that he was “ripping up” his province’s CA$100 million agreement with Starlink in response to the U.S. imposing tariffs on Canadian goods.
Elon Musk company SpaceX is set to lose a $100 million deal with the Canadian province of Ontario following a response to the Trump administration’s decision to apply 25 percent tariffs to the country.
Starlink, a satellite-based internet service launched by the Musk entity SpaceX, will lose a $100 million deal it had with Ontario, Premier Doug Ford announced today.
Starting today and until U.S. tariffs are removed, Ontario is banning American companies from provincial contracts.
Every year, the Ontario government and its agencies spend $30 billion on procurement, alongside our $200 billion plan to build Ontario. U.S.-based businesses will…
— Doug Ford (@fordnation) February 3, 2025
Ford said on X today that Ontario is banning American companies from provincial contracts:
“We’ll be ripping up the province’s contract with Starlink. Ontario won’t do business with people hellbent on destroying our economy. Canada didn’t start this fight with the U.S., but you better believe we’re ready to win it.”
It is a blow to the citizens of the province more than anything, as the Starlink internet constellation has provided people in rural areas across the globe stable and reliable access for several years.
Musk responded in simple terms, stating, “Oh well.”
Oh well https://t.co/1jpMu55T6s
— Elon Musk (@elonmusk) February 3, 2025
It seems Musk is less than enthused about the fact that Starlink is being eliminated from the province, but it does not seem like all that big of a blow either.
As previously mentioned, this impacts citizens more than Starlink itself, which has established itself as a main player in reliable internet access. Starlink has signed several contracts with various airlines and maritime companies.
It is also expanding to new territories across the globe on an almost daily basis.
With Mexico already working to avoid the tariff situation with the United States, it will be interesting to see if Canada does the same.
The two have shared a pleasant relationship, but President Trump is putting his foot down in terms of what comes across the border, which could impact Americans in the short term.
Armored Tesla Cybertruck “War Machine” debuts at Defense Expo 2025
Tesla Megapacks chosen for 548 MWh energy storage project in Japan
